
use "data_scaling_up.dta", clear
// stata 14.2
 
*************
reg knowledge1 i.treatment,ro
estimates store a

reg knowledge2 i.treatment,ro
estimates store b

reg knowledge3 i.treatment,ro
estimates store c

reg knowledge4 i.treatment,ro
estimates store d

reg knowledge5 i.treatment,ro
estimates store e

reg knowledge6 i.treatment,ro
estimates store f
 
coefplot a,bylabel(Knowledge1)|| b, bylabel(Knowledge2) || c, bylabel(Knowledge3)|| ///
d, bylabel(Knowledge4)||e, bylabel(Knowledge5)||f, bylabel(Knowledge6)||, xline(0, lcolor(gs10)) byopts(ixaxes)


**** now with "key findings" as a baseline


gen tr2=treatment
recode tr2 (0=.)

reg knowledge1 i.tr2,ro
estimates store a

reg knowledge2 i.tr2,ro
estimates store b

reg knowledge3 i.tr2,ro
estimates store c

reg knowledge4 i.tr2,ro
estimates store d

reg knowledge5 i.tr2,ro
estimates store e

reg knowledge6 i.tr2,ro
estimates store f
 
coefplot a,bylabel(Knowledge1)|| b, bylabel(Knowledge2) || c, bylabel(Knowledge3)|| ///
d, bylabel(Knowledge4)||e, bylabel(Knowledge5)||f, bylabel(Knowledge6)||, xline(0, lcolor(gs10)) byopts(ixaxes)

**

alpha IssueEmotions2Compassionate IssueEmotions4Sympathetic
gen empathy=(IssueEmotions2Compassionate+IssueEmotions4Sympathetic)


reg empathy i.treat,ro
estimates store a
coefplot a, xline(0,lcolor(gs10)) drop(_cons)





